b'Yuan-Fang Li'

research

∙ 08/12/2023

Generating Faithful Text From a Knowledge Graph with Noisy Reference Text

Knowledge Graph (KG)-to-Text generation aims at generating fluent natura...

0 Tahsina Hashem, et al. ∙

research

∙ 08/10/2023

Informative Scene Graph Generation via Debiasing

Scene graph generation aims to detect visual relationship triplets, (sub...

0 Lianli Gao, et al. ∙

research

∙ 05/26/2023

NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery

Norms, which are culturally accepted guidelines for behaviours, can be i...

0 Farhad Moghimifar, et al. ∙

research

∙ 05/04/2023

Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain

International maritime crime is becoming increasingly sophisticated, oft...

0 Fatemeh Shiri, et al. ∙

research

∙ 05/04/2023

Few-shot Domain-Adaptive Visually-fused Event Detection from Text

Incorporating auxiliary modalities such as images into event detection m...

0 Fatemeh Shiri, et al. ∙

research

∙ 04/17/2023

Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion

Knowledge graphs (KGs), as a structured form of knowledge representation...

0 Linhao Luo, et al. ∙

research

∙ 01/30/2023

On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex

Semantic parsing is a technique aimed at constructing a structured repre...

0 Terry Yue Zhuo, et al. ∙

research

∙ 11/09/2022

Syntax-Aware On-the-Fly Code Completion

Code completion aims to help improve developers' productivity by suggest...

0 Wannita Takerngsaksiri, et al. ∙

research

∙ 11/07/2022

Complex Reading Comprehension Through Question Decomposition

Multi-hop reading comprehension requires not only the ability to reason ...

0 Xiao-Yu Guo, et al. ∙

research

∙ 10/17/2022

Towards Relation Extraction From Speech

Relation extraction typically aims to extract semantic relationships bet...

0 Tongtong Wu, et al. ∙

research

∙ 10/06/2022

Teaching Neural Module Networks to Do Arithmetic

Answering complex questions that require multi-step multi-type reasoning...

0 Jiayi Chen, et al. ∙

research

∙ 08/17/2022

Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning

Scene graph generation (SGG) is a fundamental task aimed at detecting vi...

6 Tao He, et al. ∙

research

∙ 06/02/2022

Structured Two-stream Attention Network for Video Question Answering

To date, visual question answering (VQA) (i.e., image QA and video QA) i...

0 Lianli Gao, et al. ∙

research

∙ 03/21/2022

Paraphrasing Techniques for Maritime QA system

There has been an increasing interest in incorporating Artificial Intell...

6 Fatemeh Shiri, et al. ∙

research

∙ 02/17/2022

Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs

Multivariate time series forecasting has long received significant atten...

0 Ming Jin, et al. ∙

research

∙ 12/16/2021

CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summarization for 1500+ Language Pairs

We present CrossSum, a large-scale dataset comprising 1.65 million cross...

0 Tahmid Hasan, et al. ∙

research

∙ 11/20/2021

Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming

Graph representation learning (GRL) is critical for graph-structured dat...

0 Yizhen Zheng, et al. ∙

research

∙ 10/13/2021

Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model

The ability to generate natural-language questions with controlled compl...

0 Sheng Bi, et al. ∙

research

∙ 09/06/2021

Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text

Numerical reasoning skills are essential for complex question answering ...

0 Xiao-Yu Guo, et al. ∙

research

∙ 08/20/2021

Unsupervised Domain-adaptive Hash for Networks

Abundant real-world data can be naturally represented by large-scale net...

17 Tao He, et al. ∙

research

∙ 08/20/2021

Semi-supervised Network Embedding with Differentiable Deep Quantisation

Learning accurate low-dimensional embeddings for a network is a crucial ...

3 Tao He, et al. ∙

research

∙ 08/19/2021

Semantic Compositional Learning for Low-shot Scene Graph Generation

Scene graphs provide valuable information to many downstream tasks. Many...

6 Tao He, et al. ∙

research

∙ 08/19/2021

Exploiting Scene Graphs for Human-Object Interaction Detection

Human-Object Interaction (HOI) detection is a fundamental visual task ai...

15 Tao He, et al. ∙

research

∙ 06/25/2021

XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages

Contemporary works on abstractive text summarization have focused primar...

0 Tahmid Hasan, et al. ∙

research

∙ 05/20/2021

Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection

Event detection (ED) aims at detecting event trigger words in sentences ...

0 Shirong Shen, et al. ∙

research

∙ 05/12/2021

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning

Graph representation learning plays a vital role in processing graph-str...

0 Ming Jin, et al. ∙

research

∙ 02/04/2021

Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction

Predicting (1) when the next hospital admission occurs and (2) what will...

0 Bhagya Hettige, et al. ∙

research

∙ 01/06/2021

Curriculum-Meta Learning for Order-Robust Continual Relation Extraction

Continual relation extraction is an important task that focuses on extra...

0 Tongtong Wu, et al. ∙

research

∙ 10/29/2020

Less is More: Data-Efficient Complex Question Answering over Knowledge Bases

Question answering is an effective method for obtaining information from...

0 Yuncheng Hua, et al. ∙

research

∙ 10/29/2020

Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning

Complex question-answering (CQA) involves answering complex natural-lang...

0 Yuncheng Hua, et al. ∙

research

∙ 10/29/2020

Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning

A compelling approach to complex question answering is to convert the qu...

0 Yuncheng Hua, et al. ∙

research

∙ 10/19/2020

Understanding Unnatural Questions Improves Reasoning over Text

Complex question answering (CQA) over raw text is a challenging task. A ...

0 Xiao-Yu Guo, et al. ∙

research

∙ 10/07/2020

Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases

Question generation over knowledge bases (KBQG) aims at generating natur...

0 Sheng Bi, et al. ∙

research

∙ 09/01/2020

Boosting House Price Predictions using Geo-Spatial Network Embedding

Real estate contributes significantly to all major economies around the ...

0 Sarkar Snigdha Sarathi Das, et al. ∙

research

∙ 07/19/2020

Code2Que: A Tool for Improving Question Titles from Mined Code Snippets in Stack Overflow

Stack Overflow is one of the most popular technical Q A sites used by ...

0 Zhipeng Gao, et al. ∙

research

∙ 06/13/2020

Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation

Despite the huge progress in scene graph generation in recent years, its...

0 Tao He, et al. ∙

research

∙ 05/20/2020

Generating Question Titles for Stack Overflow from Mined Code Snippets

Stack Overflow has been heavily used by software developers as a popular...

0 Zhipeng Gao, et al. ∙

research

∙ 12/08/2019

MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records

Electronic medical record (EMR) data contains historical sequences of vi...

0 Bhagya Hettige, et al. ∙

research

∙ 12/02/2019

Gaussian Embedding of Large-scale Attributed Graphs

Graph embedding methods transform high-dimensional and complex graph con...

0 Bhagya Hettige, et al. ∙

research

∙ 11/08/2019

Question Generation from Paragraphs: A Tale of Two Hierarchical Models

Automatic question generation from paragraphs is an important and challe...

0 Vishwajeet Kumar, et al. ∙

research

∙ 09/04/2019

ParaQG: A System for Generating Questions and Answers from Paragraphs

Generating syntactically and semantically valid and relevant questions f...

0 Vishwajeet Kumar, et al. ∙

research

∙ 08/02/2019

OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies

Ontologies are formal representations of concepts and complex relationsh...

0 Ying Yang, et al. ∙

research

∙ 07/01/2019

One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network

With the recent explosive increase of digital data, image recognition an...

0 Tao He, et al. ∙

research

∙ 02/14/2019

Sip4J: Statically inferring permission-based specifications for sequential Java programs

In mainstream programming languages such as Java, a common way to enable...

0 Ayesha Sadiq, et al. ∙

research

∙ 01/02/2019

Vector and Line Quantization for Billion-scale Similarity Search on GPUs

Billion-scale high-dimensional approximate nearest neighbour (ANN) searc...

0 Wei Chen, et al. ∙

research

∙ 08/15/2018

A framework for automatic question generation from text using deep reinforcement learning

Automatic question generation (QG) is a useful yet challenging task in N...

0 Vishwajeet Kumar, et al. ∙

research

∙ 03/07/2018

Automating Reading Comprehension by Generating Question and Answer Pairs

Neural network-based methods represent the state-of-the-art in question ...

0 Vishwajeet Kumar, et al. ∙

Yuan-Fang Li

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